Customer Churn Prediction Dashboard

Business Question: Can we identify customers likely to churn and reduce future losses?

Tools Used: Excel, PivotTables, Segmentation Analysis

Summary: This project focuses on identifying patterns and risk factors among customers likely to cancel their service. Using a cleaned telecom dataset, I conducted churn analysis to uncover high-risk groups and offer data-driven retention strategies.

Highlights:

• Segmented customers by behavior and tenure
• Created visualizations highlighting key churn indicators
• Recommended strategic actions to reduce customer loss

Project Files:

• Cleaned Dataset (Excel)
• Final Report
• Executive Summary

Note: This analysis was a self-driven project exploring business risk and retention modeling.